Computer Science - Human-Computer Interaction Computer Science - Information Retrieval
In this position paper, we argue for the need to investigate if and how
gender stereotypes manifest in search and recommender systems.As a starting
point, we particularly focus on how these systems may propagate and reinforce
gender stereotypes through their results in learning environments, a context
where teachers and children in their formative stage regularly interact with
these systems. We provide motivating examples supporting our concerns and
outline an agenda to support future research addressing the phenomena.
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Details
Title
Pink for Princesses, Blue for Superheroes: The Need to Examine Gender Stereotypes in Kid's Products in Search and Recommendations
Creators
Amifa Raj
Ashlee Milton
Michael D Ekstrand
Publication Details
arXiv.org
Resource Type
Preprint
Language
English
Academic Unit
Information Science (Informatics)
Other Identifier
991021868095804721
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